Specifying a normative multiagent system (nMAS) is challenging, because different agents
often have conflicting requirements. Whereas existing approaches can resolve clear-cut …

The concept of a norm is found widely across fields including artificial intelligence, biology,
computer security, cultural studies, economics, law, organizational behaviour and …

This article examines experiences in evaluating a user-adaptive personal assistant agent
designed to assist a busy knowledge worker in time management. We examine the …

We propose Kont, a formal framework for comparing normative multiagent systems (nMASs)
by computing tradeoffs among liveness (something good happens) and safety (nothing bad …

We present Pirasa: an agent-based simulation environment for studying how autonomous
agents can best interact with each other to exchange goods in e-commerce marketplaces. A …

Understanding accountability in contract violations, eg, whom is accountable for what, is a
tedious, time-consuming, and costly task for human decision-making, especially when …

Assessing whether an agent is actually executing steps towards a goal, or has abandoned it,
is important when multiple agents are trying to achieve joint goals, or when agents commit to …

Recent data breaches in domains such as healthcare where confidentiality of data is crucial
indicate that breaches often originate from misuses, not only from vulnerabilities in the …

Intelligent agent-based systems are applied for many real-life difficult problem-solving tasks
in domains like transport and healthcare. In the case of many classes of real-life difficult …

Assessing whether an agent has abandoned a goal or is actively pursuing it is important
when multiple agents are trying to achieve joint goals, or when agents commit to achieving …